Paper
15 November 2007 Fusion of multi-spectral and panchromatic images based on MNF and wavelet transform
Haitao Li, Haiyan Gu, Yanshun Han
Author Affiliations +
Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 678720 (2007) https://doi.org/10.1117/12.750666
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
The fusion effect on the high-resolution remote sensing image using the traditional fusion technique such as Principal Component Analysis(PCA), is not satisfying. Considering the well-developed technique of Minimum Noise Fraction(MNF) transform and the flexible ability of Wavelet transform, a new fusion method (MNFWT) integrating MNF and Wavelet transform was studied using multi-spectral (MS) IKONOS image at 4-m spatial resolution and panchromatic (PAN) IKONOS image at 1-m resolution. Compared with PCA fusion method, MNFWT approach performs more efficiently both in improving the spatial information and preserving the spectral information.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haitao Li, Haiyan Gu, and Yanshun Han "Fusion of multi-spectral and panchromatic images based on MNF and wavelet transform", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 678720 (15 November 2007); https://doi.org/10.1117/12.750666
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KEYWORDS
Image fusion

Principal component analysis

Wavelets

Image processing

Wavelet transforms

Earth observing sensors

Signal to noise ratio

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